Home Certification ISRO Launches 3 New Programs | ISRO Free Online Courses with Certificate

ISRO Launches 3 New Programs | ISRO Free Online Courses with Certificate

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ISRO Launches 3 New Programs | ISRO Free Online Courses with Certificate

1st Programs :

1014th One day Workshop on “Earth Observation Based mapping, Monitoring and Modelling of Landslide: Recent trends and support to early warning system” 21 April, 2021.

Workshop Coordinator/s: Dr. S.L. Chattoraj/GSD/GDMS
Duration: 1day/ April 21, 2021
Scheme of course:
Lectures:
4 lectures and Panel Discussion (1 hr each) + one GL (45 Mins)
Schedule: Attached
Description:
Landslides are a frequently occurring natural as well as man-made hazard in the mountainous terrains owing to a wide variety of causative as well as triggering factors like heavy rainstorms, cloudbursts, earthquakes, geo-engineering setting and anthropogenic activities. In the Himalayan and Sahadri mountainous region, landslides are mostly rainfall triggered and although they are individually small in dimension but
occur with a high frequency and cause substantial damage to life and property. In recent years, multiple remote sensing techniques from spaceborne, airborne, and ground-based platforms, have been widely applied for the monitoring of landslide processes. Current
techniques include landslide classification, detection, digital elevation model reconstruction, surface deformation monitoring, and volume/mechanism inversion. In addition, landslide susceptibility mapping, hazard assessment, and risk evaluation can be further analyzed using a synergic fusion of multiple remote sensing data and other observations affecting landslides. Comprehensive assessment of landslide hazard which requires process based modeling using numerical simulation methods is in a budding stage in India. Precipitation triggered landslide models have been attempted in similar tectonically disturbed regions. Thus the national imperative towards safety due to
landslide initiation is increasing in view of the higher rate of human settlement in the mountain slope across the country. A landslide early-warning system is envisaged as a system capable of modelling landslide occurrences and provide timely advance warning about the impending danger. It can be for an individual landslide where warning is based on movement sensors or for small areas for one or more landslides where warning is based on rainfall threshold or for a very large area using weather prediction. In order to develop a reliable LEWS, the processes leading to mass movement need to be understood and quantitatively measured for its spatial variation and temporal prediction. Snow avalanches are a well-known hazard type and are defied as a sudden release of snow masses and ice on slopes, sometimes, containing portion of rocks, soil and vegetation. Snow avalanches also can pose a risk o persons, buildings and infrastructure in mountainous regions. In Indian context, the state of Uttarakhand has emerged as the hotspot of landslide disasters. In this context, the proposed workshop is envisaged to showcase advancements made in mapping, monitoring and modelling aspects of landslide and deliberate on the support to development of early warning system.

2nd Program :  5005th Webinar Series on “Image Restoration and Processing of Optical Data” 16, 23, 30 April and 07 May , 2021

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5005th Webinar Series on Object Based Image Analysis for Earth Observation Optical data

Prerequisites

  • Remote Sensing Basics, Resolutions
  • Elements of Visual Image Interpretation
  • Basic Image Statistics
  • Digital Image Pre-processing Concepts
  • Image Classification :Supervised ,Unsupervised
  • Image pre-processing techniques- Optical remote sensing

Contents:

  • Errors in the RS images
  • Causes of the errors
  • Types of corrections
  • Radiometric corrections and normalization for satellite data

Contents:

  • Radiometeric errors and calibration
  • Approximate corrections
  • Scene-to-scene normalization
  • Atmospheric corrections of Optical imagery

Contents:

  • Radiative Transfer equation
  • LUT based Atmospheric correction models
  • Illustrations
  • Object Based Image Analysis for Earth Observation Optical data

Contents:

  • Traditional Image Analysis – Approaches and Limitations
  • Object Based Image Analysis (OBIA) Concepts
  • Image Segmentation Methods
  • Case Study Examples
  • Object Based Image Analysis for Earth Observation Optical data

Prerequisites

  • Remote Sensing Basics, Resolutions Elements of Visual Image Interpretation
  • Basic Image Statistics
  • Digital Image Pre-processing Concepts
  • Image Classification :Supervised , Unsupervised

Contents:

  • Traditional Image Analysis – Approaches and Limitations
  • Object Based Image Analysis (OBIA) Concepts
  • Image Segmentation Methods
  • Case Study Examples

3rd Program :

5006th Webinar Series on “Webinar Series on SAR Data Processing” 07, 13, 21 and 28 May , 2021Apply Now

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